The purpose in this study is to analyze the effect of expected public pension assets (or social security wealth) and retirement incentives on retirement behaviors of two wage earners households. For the purpose of the study, an empirical analysis was conducted. In the empirical step, it was found that the empirical results were significant for men, but not for women namely, statistically asymmetric if behaviors of two couples are interdependent. The cause for the statistically asymmetric results were then determined. The Bivariate Probit model was used for estimation in the first step and the KLIPS(Korean Labor and Income Panel Study) was used as data for estimation. According to the empirical analysis, the results showed statistically significant asymmetry for men, however not for women, in expected public pension assets and other retirement incentives, non-wage assets, age difference, spouse's health status, spouse's monthly wages per hour and aging of their spouse In this study, cause of statistically asymmetric result in asymmetric complementarities of leisure of couples were found, then explained through different methods of comparison from the most recent studies. First, spouse's cross wage elasticity of self leisure demand(retirement) was calculated and determined whether complementarities of leisure of couples is positive or negative. Then, the degree of complementarities of leisure was distinguished in comparison with the relative size of two cross elasticities. Thus, men have relatively strong complementarities of leisure. But for women, it may roughly cancel out due to the substitution effect and the income effect. Therefore, women have relatively weak complementarities of leisure.
Journal of Family Resource Management and Policy Review
/
v.11
no.3
/
pp.45-65
/
2007
The purpose of this study was to analyze the life satisfaction of a single household head. This study examined the life satisfaction level of the single household head and analyzed the contributing factors. Data for this study were from the 7th KLIPS (7th Korea Labor and Income Panel Study), and the sample. consisted of 241 single household heads (including 83 male household single heads and 158 female single household heads). The statistics used for the analysis were frequencies, percentile, means, standardization, ANOVA, and multiple regression. The results were as follows. First, 53% of the household heads were due to their spouses' death, 34% of the household heads were single due to divorce, and 13% were single for other reasons. The average age of a single household head was 51 years, and the average education level of a single household head was 9.7 years and 70% of the single household heads were employed. Approximately 46% of the single household heads lived in small-and medium-sized cities. Second, the level of satisfaction with income, leisure, and residence of the single household head was lower than the middle level (3.0 points), while the level of satisfaction with family relationships, relatives, and social relationships was higher than the middle level (3.0 points). Third, there were differences in the life satisfaction level of single household heads in accordance with the single household head's marriage status, residence, recognition of health status, and current financial situation. Finally, significant variables contributing to the life satisfaction level of the single household head were gender, educational level, residence, monthly total income, satisfaction level of leisure, and family relationships. The most influential variable was the residence.
This research explores the generational similarities and discrepancies of socio-demographic and housing statuses between young adult children leaving the parental home and their parents. Utilizing the 20th Korean Labour and Income Panel Study (KLIPS), this study identified a total of 609 households who have left their parent home from 1999 to 2017. Two-thirds of the adult children were married couples while the rest was singles. Children's educational level was higher, and their household size was smaller than their parents. Both generations were mainly headed by employed and married men. The vast majority of the adult children lived in the same area with their parents and lived as tenants in much smaller housing than their parents. On the contrary, most parents were homeowners of a large single-family home. The generational differences were clearly observed in housing tenure, housing structure, and housing size. Although leaving parents' home is part of a transition to adulthoods (depending on the stability of the labor market and the affordability in the housing market), that process was largely triggered by the employment status that can lead to economic independence rather than their marital status. Both housing and job opportunities are important factors to determine independent life.
The purpose of this study was to investigate the influential factors on the job mobility types and patterns of baby boomers over the past 15 years. Sequential analysis was conducted to analyze the data that were derived from Wave 1~15(1998~2013) of Korean Labor and Income Panel Study(KLIPS). In particular, we analyzed the job mobility types and frequency, conversion analysis, probability, and significance rate. The results were as follows: firstly, proportional rates of male baby boomer workers such as technical, functional, and agriculture workers were higher than those of professionals and semi-professionals, whereas in case of female baby boomer workers, proportional rate of office workers were lower than those of service and sales workers. It was showed that functional and labor workers significantly higher than others. We found that after retiring, they left their job to search for farming job or choose to work in secondary labor markets. We suggested that the retirement support system and management system should be designed and conducted in a good manner.
The purpose of this study is to clarify the influence of parents' socio-economic resources on the class consciousness and life satisfaction of unmarried adult children living with their parents. Data from the 2nd year (1999) and 22nd year (2019) of the Korean Labor & Income Panel Study (KLIPS) were used. The study included individuals aged under 25-44 who were unmarried, lived with their parents, and had graduated out of final school. From the 2nd year (1999), data for 491 people were extracted, and from the 22nd year (2019), data for 978 people were extracted. The information on the fathers and mothers was obtained from the information on the households data, it was responded by the unmarried children. The main results are as follows. First, one of the characteristics of unmarried children living with their parents is that the average age was higher in 2019 than in 1999. Additionally, although they work and have their own income, they live in houses owned by their parents. Their levels of satisfaction with both the living environment and family relationships were high. It was found that the influence of parents' income increased in 2019 compared with 1999 in the class consciousness. As a factor that influences life satisfaction, the employment status of the father has a positive effect on the life satisfaction for men, whereas the employment status of the mother has a positive effect on the life satisfaction for women.
Journal of Family Resource Management and Policy Review
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v.26
no.2
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pp.37-51
/
2022
This study examines the relationship between flexible work and workers' work-life balance using data from the 23rd Korean Labor and Income Panel Study, with a focus on the impact of working from home (WFH) during the COVID-19 pandemic. As a result of the analysis, WFH was found to have a positive effect on the happiness of workers, satisfaction with family relationships, job satisfaction, organizational commitment, and job satisfaction related to job security for women. In addition, we looked at the changes in time use of WFH workers and non-WFH workers before and after COVID-19, with a particular focus on aspects such as time spent sleeping and on self-development, childcare, housework, exercise, and social gatherings. Compared to non-WFH workers, WFH workers increased the time spent on housework and childcare after COVID-19, with this trend more pronounced among women. The results of this study suggest that the effect of utilizing WFH may be halved for workers who have to take care of children and work at the same time, and that this effect may be greater for women. Therefore, it is necessary to strengthen social support measures so that WFH workers who face a work-life conflict due to childcare can maintain work productivity and realize a work-life balance, and to ensure that the flexible work arrangement should not be a medium that reinforces traditional gender roles. Active policy efforts will be required to make sure this happens.
Using the Korean Labor and Income Panel Study 2001 (KLIPS 2001), this paper examines gender differences in the return to education in Korea. On average, there is little difference in return to education between male and female workers. However, this paper provides evidence that the impact of education on wages is greater for female workers compared to that for male workers using three different estimation strategies. First, a simple cohort analysis shows that the estimated returns to education for male and female workers have different patterns by age cohort and this is the main reason we observe little gap in average returns to education between men and women. Second, we find that college degree has a significant impact on women's labor market outcomes, while there is little gain for men in terms of wage levels by having college degree. Finally, when controlling unobservable individual ability level with test scores, education has no significant impact on male workers' wage levels, while the impact of education on wages is considerably large for female workers. All three findings support that the impact of education on labor market outcomes is greater for female workers compared to that for male workers as many researchers have found in other OECD countries.
The recent experience about self-employment shows three main trends: first, its share out of the total workers has steadily increased, recording 37.6% in 2001, implying its prevalence and importance; second, its share out of male workers has caught up female workers', implying its importance to males as well as females; and finally, during the recent Economic Crisis when there was mass layoff and large scale bankruptcy, its share rapidly increased, reflecting its role of a buffer to economic fluctuation. However, there have been few studies on self-employment, mainly focusing on what makes someone choose it as an alternative to being employed. This study analyzes the determinants of the duration to terminate self-employment, by applying the proportional hazard model to the Korea Labor and Income Panel Survey(KLIPS) by the Korea Labor Institute. The KLIPS started the first wave in 1998 with the 5,000 household sample (and about 12,000 individual sample of household members aged 15 and more). In this study, the first four waves are used for analysis. The average duration of 5,357 spells of self-employment is 130 months. It shows slight difference between males(124 months) and females(138 months) while it widely ranges over industries (296 months for agriculture industry while 50 months for restaurant and hotel industry). Estimates of the proportional hazard model of the self-employment duration show that females are more likely to terminate self-employment while it is not statistically significant. The effect of age at starting self-employment on the hazard shows the inverse V-shape, which implies that, until a certain age(47 years), the hazard become higher as aging while, since then, it become lower as aging. The level of education has a positive effect on the hazard, implying that more education is related to the higher probability to be employed. The measures of economic performances, annual sales and earnings, are positively related to continuing self-employment while hardship at the start of self-employment measured by several ways has a negative effect. Training before opening business has a positive effect on keeping on self-employment and its effects are different over its providers, significantly positive for public providers while insignificant for private providers. More and further research on self-employment is urgent in the rapidly ageing society. To help workers to be self-employed, more public assistance is necessary for education, training, financing, marketing, management, and human resource management in order to make the olders consider self-employment as a good alternative rather than an inevitable one.
By analyzing wave 1~11 (1998~2008) of Korean Labor and Income Panel Study(KLIPS) database, this study examines the effects of household characteristics and poverty duration on poverty exit. A special concern is to decide whether the decrease of poverty exit rates comes from true duration dependency or from the sample heterogeneity as poverty duration progresses. I also analyzed how the effects of independent variables are changed when unobserved heterogeneity is controlled. The results show that duration dependency disappears after controlling observed household characteristics and unobserved individual heterogeneity. This finding confirms that the apparent relationship between poverty exit rate and poverty duration is in fact a spurious association due to the sample heterogeneity rather than true duration dependency. In addition, the effects of household characteristics on poverty exit rate become more stronger when unobserved heterogeneity is controlled. Socioeconomic factors affecting poverty exit rates are such as householders' age, education, household composition, number of family members, labor force participation, and work status.
This study aims to explore the status and characteristics of the working poor and to identify the major determinants of their statistic status. For this, longitudinal panel data (from 2nd wave(1999) data to 7th wave(2004) data) from Korean Labor and Income Panel Study (KLIPS), is used. The data is analyzed by adopting Hierarchical Generalized Linear Model (HGLM), which is known as an app.opriate data analysis method for the hierarchically structured data, to look at the factors that affect on the poverty status of the working people. The results show that 1) it is estimated that about 1 out of 10 working people (about 10.0%) are poor, and 2) sex, education level, marital status, region where they lives, employment status, occupation type, and industry type that they are working at are significant predictors in determining their poverty status. Unlike the results of the previous studies, however, the number of the household member, age are not influenced on their poverty status. Based on these results, several policy implications are presented at the end of this paper.
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